Data and Applied Scientist

NetApp; Berlin; Vor Ort; EUR 70.000 - 95.000; Vollzeit

Zusammenfassung

A leading technology company is seeking a Data & Applied Scientist to join their innovative team. The role involves developing and deploying AI/ML solutions for data governance and compliance. Candidates should have a strong background in data science, particularly with AI models and systems. A Master's or Bachelor's degree in a related field and proficiency in Python and modern ML frameworks are required. This position offers a collaborative environment to tackle complex challenges and promote AI innovations.

Qualifikationen

• 4+ years of experience in shipping ML models to production.
• Expertise in supervised and unsupervised machine learning.
• Strong proficiency in Python and modern ML frameworks.

Aufgaben

• Develop and deploy AI/ML models for data governance.
• Build scalable data pipelines for AI/ML solutions.
• Collaborate with teams to integrate AI models into products.
• Ensure reliability and performance of AI models in production.

Kenntnisse

Python

Machine learning frameworks

Deep learning

Data science fundamentals

Communication skills

Collaboration skills

Ausbildung

Master's or Bachelor's degree in Computer Science or related fields

Tools

PyTorch

Transformers

Jobbeschreibung

Title: Data and Applied Scientist

Location: Bangalore, Karnataka, IN

Requisition ID: 132136

Job Summary

NetApp is seeking a Data & Applied Scientist to join the Data Services organization. The overarching vision of this organization is to empower organizations to effectively manage and govern their data estate and build cyber-resiliency while accelerating their digital transformation journey. To get to this vision, we will embark on an AI-first approach to build and deliver world-class suite of data services. As an individual contributor in this team, the Data & Applied Scientist will be responsible for independently developing and shipping ML / AI-based solutions to solve real-world challenges in the domains of data governance and compliance. The candidate will possess deep expertise in using modern AI / ML systems to ship impactful products to production. This is going to be a challenging and a fun role in one of the most exciting roles in the industry today.

Job Requirements

• Lead the development and deployment of AI / ML models and systems for Data governance with techniques from the realm of classical Machine learning, Generative AI and AI agents.
• Develop scalable data pipelines for various AI / ML-driven solutions from building curated data pipelines, setting up automated evals, adopting latest and greatest techniques and approaches platforms for rapid experimentation.
• Collaborate with data scientists and engineers to integrate AI models and systems into the broader products at NetApp. Effectively communicate complex technical artifacts to both technical and non-technical audiences.
• Work with a great deal of autonomy and proactively bring open-source AI innovations into our research and experimentation roadmap.
• Ensure scalability, reliability, and performance of AI models in production environments.
• Have a customer focus mindset and build AI / ML products that delight our customers.
• Represent NetApp as an innovator in the machine learning community and promote the company's product capabilities in industry / academic conferences.

Required Qualification

• Master’s or bachelor’s degree in computer science / applied mathematics / statistics / data science OR equivalent skills. Degrees are not compulsory.
• Expertise in data science fundamentals and model evaluations as evidenced by solid understanding of supervised ML, unsupervised ML and deep learning approaches with 4+ years of experience shipping them to production.
• Strong Proficiency in Python, modern ML frameworks (PyTorch, transformers) and derivative tooling.
• Working expertise with using large language models, prompting techniques, finetuning, synthetic data generation and knowing when not to use LLMs.
• Excellent communication and collaboration skills, with demonstrated ability to work effectively with cross-functional teams and stakeholders of an organization

Preferred Qualification

• Curiosity and tinkering with AI agents or multi-agent systems.
• Understanding of data governance, security policies and compliance frameworks.
• Experience of representing their work or company in AI / ML conferences. Publications or contributions to AI / ML community related to NLP or data governance.
• Active GitHub profile showcasing relevant open-source AI / ML projects or Kaggle achievements.

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